Datasets:

codesignal
/

imbalanced-data-practice

Dataset card Data Studio Files Files and versions Community

Split (2)

train · 382k rows

id int64	Gender string	Age int64	Driving_License int64	Region_Code float64	Previously_Insured int64	Vehicle_Age string	Vehicle_Damage string	Annual_Premium float64	Policy_Sales_Channel float64	Vintage int64	Response int64
297,692	Male	39	1	28	0	1-2 Year	Yes	39,192	124	230	0
11,501	Female	21	1	46	1	< 1 Year	No	22,983	160	152	0
53,614	Female	38	1	10	0	1-2 Year	Yes	27,693	26	139	0
360,482	Male	55	1	47	0	1-2 Year	Yes	32,246	26	77	0
355,633	Male	53	1	8	1	1-2 Year	No	76,808	26	44	0
198,724	Male	23	1	28	1	< 1 Year	No	36,680	152	142	0
440,603	Female	52	1	28	1	1-2 Year	No	2,630	26	92	0
395,531	Male	60	1	33	1	1-2 Year	No	39,166	26	41	0
339,154	Female	48	1	30	0	1-2 Year	Yes	38,178	124	141	0
362,873	Male	60	1	28	0	1-2 Year	Yes	26,270	124	66	0
78,074	Male	21	1	35	1	< 1 Year	No	34,690	160	63	0
248,497	Male	27	1	10	1	< 1 Year	No	58,018	152	94	0
110,498	Male	45	1	12	1	1-2 Year	No	36,919	124	139	0
186,951	Female	46	1	15	0	1-2 Year	No	31,020	124	126	0
327,808	Male	45	1	28	0	1-2 Year	Yes	30,403	26	262	0
136,792	Male	42	1	28	0	1-2 Year	Yes	30,412	26	71	0
19,441	Male	53	1	15	1	1-2 Year	No	36,218	124	24	0
29,557	Female	21	1	3	1	< 1 Year	No	19,218	152	161	0
52,232	Male	32	1	28	0	< 1 Year	Yes	62,652	152	197	0
147,851	Male	60	1	38	1	1-2 Year	No	40,117	124	277	0
129,334	Male	59	1	28	1	1-2 Year	No	42,904	23	157	0
473,546	Male	36	1	28	0	1-2 Year	Yes	43,149	26	157	1
2,483	Female	53	1	6	1	1-2 Year	No	34,794	122	196	0
245,648	Male	65	1	28	0	1-2 Year	Yes	25,040	26	108	0
8,159	Male	58	1	28	0	1-2 Year	Yes	66,351	55	29	0
319,420	Male	23	1	28	1	< 1 Year	No	34,140	152	296	0
450,567	Male	44	1	28	0	> 2 Years	Yes	51,380	26	71	1
325,995	Female	25	1	8	0	< 1 Year	No	2,630	152	20	0
151,685	Male	23	1	28	1	< 1 Year	Yes	55,073	124	296	0
315,700	Female	29	1	8	1	1-2 Year	No	37,842	154	170	0
142,172	Male	20	1	8	0	< 1 Year	Yes	27,228	160	248	0
187,921	Female	58	1	28	0	> 2 Years	Yes	45,739	26	151	0
136,884	Male	59	1	8	0	1-2 Year	Yes	27,746	26	143	0
213,167	Female	38	1	28	0	< 1 Year	Yes	54,969	3	232	1
169,987	Female	25	1	36	0	< 1 Year	Yes	45,133	152	17	0
250,621	Male	52	1	39	0	1-2 Year	Yes	36,061	124	286	0
75,422	Female	55	1	8	1	1-2 Year	No	39,559	26	27	0
158,703	Male	52	1	36	0	1-2 Year	Yes	28,491	26	258	0
154,268	Male	25	1	30	1	< 1 Year	No	29,398	152	170	0
165,061	Male	22	1	50	1	< 1 Year	No	23,426	152	155	0
144,129	Male	68	1	28	0	1-2 Year	No	43,186	26	82	0
230,981	Male	43	1	28	0	1-2 Year	Yes	56,584	26	257	0
50,682	Female	21	1	8	0	< 1 Year	Yes	47,973	160	253	0
230,131	Male	64	1	50	1	1-2 Year	No	35,036	124	87	0
180,804	Male	43	1	46	0	1-2 Year	Yes	22,683	124	123	0
98,160	Male	48	1	8	1	1-2 Year	No	28,200	26	91	0
447,734	Female	25	1	46	1	< 1 Year	No	41,007	152	234	0
15,076	Male	22	1	10	1	< 1 Year	No	38,402	152	240	0
178,020	Male	20	1	1	0	1-2 Year	Yes	2,630	157	234	0
367,187	Male	43	1	23	1	1-2 Year	No	31,539	124	157	0
196,982	Male	46	1	43	0	1-2 Year	Yes	31,277	124	171	0
146,327	Male	24	1	8	0	< 1 Year	No	49,641	152	219	0
385,781	Male	47	1	8	0	1-2 Year	Yes	38,502	26	131	1
26,201	Male	53	1	8	0	1-2 Year	Yes	33,739	156	32	0
255,237	Male	25	1	30	0	1-2 Year	Yes	21,817	124	292	1
487,558	Female	42	1	41	1	1-2 Year	No	39,080	124	224	0
5,188	Female	47	1	28	0	1-2 Year	Yes	35,180	26	42	1
193,188	Female	75	1	28	1	1-2 Year	Yes	53,488	26	81	0
23,625	Male	70	1	28	0	1-2 Year	Yes	31,867	26	79	1
35,690	Female	24	1	45	1	< 1 Year	No	29,572	152	256	0
129,654	Male	48	1	48	1	1-2 Year	No	2,630	96	265	0
477,666	Male	28	1	16	1	< 1 Year	No	32,104	152	201	0
431,537	Female	30	1	8	1	< 1 Year	No	100,981	152	122	0
291,511	Female	57	1	43	0	1-2 Year	Yes	2,630	26	287	0
222,459	Female	46	1	28	0	1-2 Year	Yes	57,042	124	21	0
54,691	Female	64	1	37	0	1-2 Year	Yes	48,105	124	235	0
122,295	Male	45	1	29	0	1-2 Year	Yes	30,215	26	63	0
64,084	Male	49	1	41	0	1-2 Year	Yes	29,769	124	209	0
114,464	Male	49	1	8	0	1-2 Year	Yes	36,589	124	72	0
82,760	Male	46	1	45	0	1-2 Year	Yes	32,006	60	227	0
13,082	Female	37	1	41	0	1-2 Year	Yes	32,673	124	142	1
45,997	Female	22	1	37	0	< 1 Year	Yes	29,119	160	57	0
401,246	Female	24	1	6	1	< 1 Year	No	26,609	152	141	0
332,337	Male	66	1	7	0	> 2 Years	Yes	2,630	26	297	0
362,183	Female	49	1	8	1	1-2 Year	No	2,630	124	234	0
398,262	Male	43	1	35	0	1-2 Year	Yes	23,783	26	117	1
242,938	Male	26	1	29	1	< 1 Year	No	26,945	152	51	0
139,417	Female	38	1	50	0	1-2 Year	Yes	35,777	124	269	0
233,607	Female	20	1	8	1	< 1 Year	No	36,324	160	54	0
66,009	Male	35	1	38	1	1-2 Year	Yes	30,495	124	54	0
211,608	Male	26	1	34	0	< 1 Year	No	32,852	152	14	0
83,361	Male	22	1	15	0	< 1 Year	Yes	31,426	152	273	0
409,318	Female	48	1	47	1	1-2 Year	No	37,958	26	174	0
319,992	Male	28	1	7	0	1-2 Year	Yes	30,267	163	71	1
188,191	Female	24	1	28	1	< 1 Year	No	46,985	152	212	0
310,963	Male	45	1	26	0	1-2 Year	No	26,036	26	83	0
442,381	Male	52	1	14	1	1-2 Year	No	35,672	26	167	0
113,433	Male	58	1	21	1	1-2 Year	No	36,267	124	126	0
128,348	Female	35	1	11	1	1-2 Year	No	23,825	26	188	0
158,476	Female	21	1	16	0	< 1 Year	Yes	28,623	160	296	0
423,243	Female	31	1	18	0	1-2 Year	Yes	30,001	156	166	1
493,859	Male	21	1	30	1	< 1 Year	No	41,896	160	122	0
297,047	Male	47	1	41	0	1-2 Year	No	23,652	109	178	0
35,735	Female	36	1	28	1	1-2 Year	No	42,883	124	152	0
94,948	Male	21	1	32	1	1-2 Year	No	33,574	124	122	0
39,810	Male	21	1	13	1	< 1 Year	No	30,048	152	54	0
222,293	Female	24	1	33	0	< 1 Year	Yes	2,630	160	189	0
339,802	Male	57	1	28	0	1-2 Year	Yes	2,630	7	13	0
327,852	Female	24	1	14	1	< 1 Year	No	25,090	152	287	0
77,763	Female	25	1	28	1	< 1 Year	No	39,844	152	241	0

Subsets and Splits

No saved queries yet

Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.